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Corporate America is getting hooked on open-source AI

nytimes.com

11–20 of 302 posts

Re: Corporate America is getting hooked on open-source AI

#11

Earlier quoted context omitted.

Most open source fans are also hostile to copyrights existence and are openly IP abolitionists. As such, they collectively respond with "good." This is actual communism, and the fact that Bernie Sanders and every other member of the DSA isn't actively fighting for open source and is often fighting against all AI shows how fake their purported movements are and have always been.

While I don’t disagree that they should be fighting for open source AI, Sanders is hardly “fighting against all AI”. https://jacobin.com/2026/07/ai-nationalization-sanders-liber...

I've been disappointed with Sanders lately, his age is showing and how he got convinced to give these LLM companies a massive federal bailout is bonkers.

Re: Corporate America is getting hooked on open-source AI

#12
post #5

How is the NYT's copyright lawsuit against OpenAI going and why have you abandoned your start witness Suchir Balaji? Have you been brought into line? Open source AI also violates copyrights.

Oh no! I'll make sure to tell the Chinese companies about the copyright risks.

Re: Corporate America is getting hooked on open-source AI

#13
post #3

I'd love to! For real coding though, SOTA models barely get the job done. It wasn't until Opus 4.5 that you could really get decent results. I'm sure this will change (and I can't wait for it!) but as of today, open models might be fine for summarizing and writing docs, but you need SOTA to work on code if you want to be competitive.

Every time I check in on this I hear a more recent model is the one where they started doing good work. I'm excited to here that Astra is where it got capable enough to work on code next year

Re: Corporate America is getting hooked on open-source AI

#15
post #5

How is the NYT's copyright lawsuit against OpenAI going and why have you abandoned your start witness Suchir Balaji? Have you been brought into line? Open source AI also violates copyrights.

Most open source fans are also hostile to copyrights existence and are openly IP abolitionists. As such, they collectively respond with "good." This is actual communism, and the fact that Bernie Sanders and every other member of the DSA isn't actively fighting for open source and is often fighting against all AI shows how fake their purported movements are and have always been.

There's no reason that one's feelings about AI can't supersede their feelings about open source. We all live with a complex tapestry of values.

Re: Corporate America is getting hooked on open-source AI

#16
post #7

> Some U.S. firms remain reluctant to use Chinese A.I. models because of concerns over regulation and data privacy. AT&T researches Chinese models but is not using them, Mr. Markus said. Instead, it is working with popular alternatives made by American companies such as the Gemma A.I. model from Google and the Llama A.I. models from Meta. This makes sense since corporations require legal certainty, and using an open…

The current U.S. regime is also replacing some amount of that legal certainty with regime fealty. Picking Chinese options over American ones probably runs a risk of upsetting their leader. I've got to imagine American companies are weighing this factor in their decisions.

Re: Corporate America is getting hooked on open-source AI

#17
Easy prediction: LLMs will get shrunk down further and further until GenAI is just something that ships on a chip as part of your hardware. In the future it will seem quaint that we needed a network connection to talk to our LLM.

Adoption of open-source models to my mind is a similar step in that direction. In all cases, the goal is to become untethered from a mercurial vendor.

Re: Corporate America is getting hooked on open-source AI

#18
post #3

I'd love to! For real coding though, SOTA models barely get the job done. It wasn't until Opus 4.5 that you could really get decent results. I'm sure this will change (and I can't wait for it!) but as of today, open models might be fine for summarizing and writing docs, but you need SOTA to work on code if you want to be competitive.

Every time I check in on this I hear a more recent model is the one where they started doing good work. I'm excited to here that Astra is where it got capable enough to work on code next year

I think it truly just was Opus 4.5 where LLMs became usable for coding.

Re: Corporate America is getting hooked on open-source AI

#19

Earlier quoted context omitted.

Every time I check in on this I hear a more recent model is the one where they started doing good work. I'm excited to here that Astra is where it got capable enough to work on code next year

I think it truly just was Opus 4.5 where LLMs became usable for coding.

Yeah what, I'm using flash models and getting a ton of stuff done. 300-400b param size with pi.dev

Re: Corporate America is getting hooked on open-source AI

#20
post #3

I'd love to! For real coding though, SOTA models barely get the job done. It wasn't until Opus 4.5 that you could really get decent results. I'm sure this will change (and I can't wait for it!) but as of today, open models might be fine for summarizing and writing docs, but you need SOTA to work on code if you want to be competitive.

You're not corporate America (and trust me, I mostly mean that as a plus).

I also work in software, and while I vaguely disagree that open models can't be used (they absolutely fit into productive niches here, and holy hell are the last generation [ex laguna s1, kimi k3, glm 5.3, etc] actually decent) - I will agree that SOTA are a better fit for software development, especially when used in conjunction with an already very expensive employee who's driving them.

But for "Corporate America"... no. You absolutely don't need SOTA. They're doing things like transcription, summarization, customer interaction, minor technical tasks like form creation in existing tools, report generation (ex - powerpoint, pdf, docs, etc) and other general "white collar tasks". Think about roles in business that are in the 60-85k compensation range.

It's mostly busy work that keeps existing processes flowing and the business on the rails. Important, but not research/novel.

And cheap ai... is a wonderful fit for a lot of this. No one wants to replace an employee making 80k with a less reliable AI that costs 45k a year in tokens (SOTA). But they're absolutely willing to drop 2-3k/year on AI (~100/month - right in the open model cost range) for that employee if they can get a 10% bump in productivity or happiness.

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